Systems and methods for accurate determination of the position of an anatomic part of a subject in robotic assisted image-based surgery, using an inertial measurement unit (IMU) to determine the position and orientation of the anatomical part of the subject. The intrinsic drift of the IMU, which would make the IMU position measurements inaccurate, can be reset to zero regularly, at points of time when the subject's body is stationary. This can be achieved when motion from the subject's breathing and from the heartbeat are essentially zero. Such positions occur respectively when the respiratory signal shows the position of the breathing cycle to be at the end of the expiration phase, and the heartbeat signal represents a time in the diastole period of the subject's electrocardiographic cycle. When these two signal moments coincide, the IMU is essentially stationary, and its drift reset to zero.

Systems and methods are described for performing navigation-assisted medical procedures such as biopsies, surgeries and pathology procedures by obtaining location information of an item of interest located within at least a portion of a subject; sensing position information of a moveable device; determining a relative position of the moveable device to the item of interest using the location information of the item of interest and the position information of the moveable device; and providing feedback based on the relative position of the moveable device to the item of interest that can be used to change the relative position of the moveable device to the item of interest.

Systems and methods for treating and/or averting cardiac arrhythmias, such as atrial fibrillation, are provided. A device comprises a housing including an energy source, a contact surface and an electrode. The energy source is configured to transmit an electrical impulse to the electrode through the outer skin surface to a vagus nerve of the patient. The electrical impulse comprises bursts of about 2 pulses to about 20 pulses with each of the bursts having a frequency of about 3 Hz to about 100 Hz. The electrical impulse modulates the vagus nerve to treat a cardiac arrhythmia of the patient. A system includes a sensor for detecting a physiological parameter of a patient's heart, such as heart rate variability, and a controller configured to activate the stimulator based on the physiological parameter to cause the stimulator to generate the electrical impulse.

Tubes (e.g., catheters, endotracheal or chest tubes and bypass grafts) are provided, comprising a catheter and a plurality of sensors.

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

This disclosure is directed to techniques for detecting and mitigating inaccurate sensing in a medical system. In some examples, one or more sensors of the medical system may include at least one electrode configured to sense an impedance of a portion of a patient's body proximate to the electrode and processing circuitry of the medical system may detect an inaccuracy in the data corresponding to the one or more patient physiological parameters based upon data including at least the sensed impedance of the portion of the patient body; correct at least a portion of the inaccuracy in the data corresponding to the one or more patient physiological parameters; and generate, for display on a display device, output data indicating the inaccuracy in the data corresponding to the one or more patient physiological parameters.

In general, arthroscopic medical implements and assemblies and methods of operating arthroscopic medical implements and assemblies are provided. Devices, systems, and methods are described herein in connection with accessing a surgical site using an arthroscopic medical implement. In an exemplary implementation, an optical sensor of the arthroscopic medical implement can gather and output image data, and an inertial sensor of the arthroscopic medical implement can gather and output orientation data. The orientation data can be used to modify the gathered optical image to maintain a display of the gathered optical image in a predetermined desired orientation before, during, and after any rotation of the arthroscopic medical implement. The arthroscopic medical implement can also include at least one sensor configured to gather and output pressure and/or temperature.

The present invention provides a control method and system of a vibration capsule. The control method comprising: receiving a detection command of an acceleration sensor and controlling the acceleration sensor to work; obtaining a working acceleration data and transmitting the working acceleration data to an external device; and analyzing the working acceleration data and determining the position of the vibration capsule by the external device.

The present invention relates to medical nanobots with embedded biosensors for real-time and continuous in-vivo anatomic localization, diagnosis, disease surveillance, and therapeutic intervention.

A portable endoscopic system comprising an imaging unit for an endoscopic procedure. The imaging unit has an imaging coupler for receiving imaging information from an imaging assembly of an endoscope; a display integrated into a housing of the imaging unit; an image processing unit for processing the received imaging information into images of a time series and to displaying the image in real-time; a motion sensor configured to detect a motion of the housing; and a detection processing unit. The detection processing unit is configured to classify at least one anatomical feature in each image of the time series based on an artificial intelligence classifier; determine a confidence metric of the classification; determine a motion vector based on the detected motion; and display, concurrently with the corresponding image, the classification of the at least one anatomical feature, the determined confidence metric, and the determined motion vector.